Machine Learning/Automation Research Engineer

United States-California-Edwards AFB-20313-RPTR

Full Time Clearance required USD 70K - 126K

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Posted 1 day ago

Machine Learning/Automation Research Engineer - (PFO0005O5)

Your Impact:

Full-time position at Air Force Research Laboratory, Edwards AFB, CA supporting the research and application of efficient, data-driven artificial intelligence systems that advance our predictive and automation capabilities. This includes algorithm development, uncertainty quantification, error stackups, relevant testbeds, data analysis, remote control of test articles, and other advanced concepts. Duties will range from supporting basic research in the areas of uncertainty quantification and algorithm development to applied technology development including coding, testing, and analysis for in-house research and flight demonstration support. This is a full-time position with benefits that you can enroll in which includes - Health, Dental, Vision, Short and Long Term Disability, 401k, 11 Paid Holidays, PTO, and Paid Sick Leave. The salary range for this position is $70K to $126K.

Here's What You'll Need:

Qualifications:

MS or equivalent experience in computer science, machine learning, aerospace engineering, mathematics, or data science
Expertise with controls algorithms, optimization algorithms, reinforcement learning, state estimation, deep learning, supervised learning, or unsupervised learning
Experience working in or leading teams of scientists, engineers, and technicians
Must be a United States Citizen
Must be able to obtain a Security Clearance

Preferred Qualifications:

PhD or equivalent experience in computer science, machine learning, aerospace engineering, mathematics, or related technical field
Proficiency in one or more programming languages such as Python, C++, MATLAB, R, Java, or similar
Strong background in mathematics, statistics, or probability
Experience with machine learning frameworks and tools
Familiarity with Raspberry Pi or FPGAs
Experience in pattern recognition, reinforcement learning, imitation learning, optimization, state estimation, or unsupervised/supervised learning
Familiarity with handling uncertainty quantification, sparse measurements, or noisy data
Familiarity with high-performance computing environments and workflows
Experience with dynamical and chaotic systems
Familiarity with controls algorithms, remote systems, or optimal controls
Experience preparing written reports describing the methods, analysis, and results of experiments.
Must be organized, punctual, self-motivated, a team player, and a strong communicator
Demonstrated ability to work in a collaborative research environment.
Highly motivated to develop space exploration technology.
Strong communication skills, both written and verbal. Experience presenting papers at conferences or publishing papers in peer-reviewed journals.

Essential Functions

Unusual or Special Physical Requirements of Position

Lifting: Up to 25 pounds for short durations (<10%)
Climbing: No
Crawling: No
Special clothing/equipment (wearing): Chemical laboratory PPE (60%)
Unusual physical requirements: No
High noise level: No
Other: Extended periods of standing or sitting.

Description of Work Environment

Inside? Outside? Combination? Where?: Primarily inside (90%)
Extreme (hot/cold) temperatures involved: No
Hazardous conditions - What are they?: Yes, energetic materials
Travel/transportation requirements: Driver’s License

Equipment and Machines Involved in Work Tasks

Office equipment/machines electrically/battery operated - which?: Yes, various, 10-40%
Vehicles, forklifts, etc. operated which?: Car (10%)
Tools used in trade - which ones?: No

Criticality of Attendance

Overtime, regular days, off days: No
Shift, 1st, 2nd, 3rd: 1st
Necessity for regular attendance: Yes
Urgency for punctuality: Yes

Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.